RD

Dataset statistics

Number of variables	19
Number of observations	2550
Missing cells	1176
Missing cells (%)	2.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	378.6 KiB
Average record size in memory	152.1 B

Variable types

Numeric	11
Categorical	8

Alerts

`LABEL2013` has constant value "Urban"	Constant
`LABEL2014` has constant value "Urban"	Constant
`LABEL2015` has constant value "Urban"	Constant
`LABEL2016` has constant value "Urban"	Constant
`LABEL2017` has constant value "Urban"	Constant
`LABEL2018` has constant value "Urban"	Constant
`LABEL2019` has constant value "Urban"	Constant
`LABEL2020` has constant value "Urban"	Constant
`df_index` is highly correlated with `LAT` and 1 other fields	High correlation
`LON` is highly correlated with `df_index` and 2 other fields	High correlation
`2013` is highly correlated with `2014` and 2 other fields	High correlation
`2014` is highly correlated with `LON` and 7 other fields	High correlation
`2015` is highly correlated with `2013` and 6 other fields	High correlation
`2016` is highly correlated with `2013` and 6 other fields	High correlation
`2017` is highly correlated with `2014` and 5 other fields	High correlation
`2018` is highly correlated with `2014` and 5 other fields	High correlation
`2019` is highly correlated with `2014` and 5 other fields	High correlation
`2020` is highly correlated with `2014` and 5 other fields	High correlation
`LABEL2020` is highly correlated with `LABEL2017` and 6 other fields	High correlation
`LABEL2017` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2016` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2018` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2019` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2014` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2013` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2015` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LAT` is highly correlated with `df_index` and 1 other fields	High correlation
`LABEL2013` has 230 (9.0%) missing values	Missing
`LABEL2014` has 200 (7.8%) missing values	Missing
`LABEL2015` has 194 (7.6%) missing values	Missing
`LABEL2016` has 190 (7.5%) missing values	Missing
`LABEL2017` has 179 (7.0%) missing values	Missing
`LABEL2018` has 118 (4.6%) missing values	Missing
`LABEL2019` has 65 (2.5%) missing values	Missing
`df_index` has unique values	Unique
`2013` has 786 (30.8%) zeros	Zeros
`2014` has 543 (21.3%) zeros	Zeros
`2015` has 168 (6.6%) zeros	Zeros
`2016` has 83 (3.3%) zeros	Zeros
`2017` has 62 (2.4%) zeros	Zeros
`2018` has 61 (2.4%) zeros	Zeros
`2019` has 57 (2.2%) zeros	Zeros
`2020` has 51 (2.0%) zeros	Zeros

Reproduction

Analysis started	2022-09-22 15:22:49.803583
Analysis finished	2022-09-22 15:23:07.039395
Duration	17.24 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	2550
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12901.11804

Minimum	107
Maximum	25800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	107
5-th percentile	6984.45
Q1	10530.25
median	12940.5
Q3	15419.75
95-th percentile	18046.1
Maximum	25800
Range	25693
Interquartile range (IQR)	4889.5

Descriptive statistics

Standard deviation	3937.916179
Coefficient of variation (CV)	0.3052383651
Kurtosis	1.662250451
Mean	12901.11804
Median Absolute Deviation (MAD)	2462
Skewness	-0.1172750626
Sum	32897851
Variance	15507183.83
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
107	1	< 0.1%
14550	1	< 0.1%
14543	1	< 0.1%
14544	1	< 0.1%
14545	1	< 0.1%
14546	1	< 0.1%
14547	1	< 0.1%
14548	1	< 0.1%
14549	1	< 0.1%
14551	1	< 0.1%
Other values (2540)	2540	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
107	1	< 0.1%
108	1	< 0.1%
143	1	< 0.1%
246	1	< 0.1%
247	1	< 0.1%
347	1	< 0.1%
348	1	< 0.1%
425	1	< 0.1%
426	1	< 0.1%
427	1	< 0.1%

Value	Count	Frequency (%)
25800	1	< 0.1%
25774	1	< 0.1%
25473	1	< 0.1%
25455	1	< 0.1%
25453	1	< 0.1%
25399	1	< 0.1%
25382	1	< 0.1%
25381	1	< 0.1%
25380	1	< 0.1%
25379	1	< 0.1%

LAT
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	100
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.43357255

Minimum	17.0275
Maximum	17.7475
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	17.0275
5-th percentile	17.3075
Q1	17.3775
median	17.4425
Q3	17.4975
95-th percentile	17.5425
Maximum	17.7475
Range	0.72
Interquartile range (IQR)	0.12

Descriptive statistics

Standard deviation	0.08394416492
Coefficient of variation (CV)	0.004815086792
Kurtosis	1.99202693
Mean	17.43357255
Median Absolute Deviation (MAD)	0.06
Skewness	-0.6344688667
Sum	44455.61
Variance	0.007046622824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.5075	65	2.5%
17.4975	62	2.4%
17.5125	62	2.4%
17.5025	61	2.4%
17.4525	61	2.4%
17.4925	61	2.4%
17.4825	60	2.4%
17.4475	60	2.4%
17.4575	59	2.3%
17.4625	59	2.3%
Other values (90)	1940	76.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17.0275	2	0.1%
17.0625	2	0.1%
17.0675	4	0.2%
17.0725	4	0.2%
17.0775	4	0.2%
17.0825	1	< 0.1%
17.0875	1	< 0.1%
17.0975	2	0.1%
17.1275	2	0.1%
17.1525	1	< 0.1%

Value	Count	Frequency (%)
17.7475	1	< 0.1%
17.7425	2	0.1%
17.6875	1	< 0.1%
17.6425	3	0.1%
17.6375	5	0.2%
17.6325	6	0.2%
17.6275	4	0.2%
17.6225	5	0.2%
17.6175	6	0.2%
17.6125	5	0.2%

LON
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	139
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.465233

Minimum	78.0475
Maximum	78.92751
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	78.0475
5-th percentile	78.28751
Q1	78.3975
median	78.4675
Q3	78.53751
95-th percentile	78.6125
Maximum	78.92751
Range	0.88001
Interquartile range (IQR)	0.14001

Descriptive statistics

Standard deviation	0.1193077387
Coefficient of variation (CV)	0.001520517229
Kurtosis	2.605373412
Mean	78.465233
Median Absolute Deviation (MAD)	0.07001
Skewness	-0.008685703397
Sum	200086.3441
Variance	0.01423433651
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.42751	53	2.1%
78.4325	53	2.1%
78.4875	52	2.0%
78.48251	50	2.0%
78.4625	50	2.0%
78.4225	49	1.9%
78.4775	49	1.9%
78.4175	48	1.9%
78.4375	48	1.9%
78.5175	48	1.9%
Other values (129)	2050	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
78.0475	2	0.1%
78.05251	1	< 0.1%
78.0625	2	0.1%
78.0675	2	0.1%
78.0725	6	0.2%
78.0775	11	0.4%
78.0825	6	0.2%
78.0875	5	0.2%
78.1125	1	< 0.1%
78.1175	2	0.1%

Value	Count	Frequency (%)
78.92751	1	< 0.1%
78.9225	1	< 0.1%
78.9025	1	< 0.1%
78.8975	3	0.1%
78.8925	8	0.3%
78.8875	7	0.3%
78.8825	7	0.3%
78.8775	5	0.2%
78.87251	3	0.1%
78.8375	1	< 0.1%

2013
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1765
Distinct (%)	69.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1250.724445

Minimum	0
Maximum	9756.0752
Zeros	786
Zeros (%)	30.8%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	585.4917
Q3	1830.810575
95-th percentile	4681.12954
Maximum	9756.0752
Range	9756.0752
Interquartile range (IQR)	1830.810575

Descriptive statistics

Standard deviation	1652.865109
Coefficient of variation (CV)	1.321526188
Kurtosis	3.410446079
Mean	1250.724445
Median Absolute Deviation (MAD)	585.4917
Skewness	1.812238957
Sum	3189347.336
Variance	2731963.069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	786	30.8%
1757.70972	1	< 0.1%
1001.34381	1	< 0.1%
55.66813	1	< 0.1%
16.64465	1	< 0.1%
815.24066	1	< 0.1%
268.20905	1	< 0.1%
313.37112	1	< 0.1%
654.18848	1	< 0.1%
1121.21558	1	< 0.1%
Other values (1755)	1755	68.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	786	30.8%
0.51894	1	< 0.1%
1.98535	1	< 0.1%
4.02218	1	< 0.1%
4.64364	1	< 0.1%
4.78365	1	< 0.1%
6.97021	1	< 0.1%
7.0865	1	< 0.1%
9.24015	1	< 0.1%
13.75133	1	< 0.1%

Value	Count	Frequency (%)
9756.0752	1	< 0.1%
9685.37305	1	< 0.1%
9536.60547	1	< 0.1%
9107.61914	1	< 0.1%
9064.5752	1	< 0.1%
8957.39453	1	< 0.1%
8872.7373	1	< 0.1%
8367.24512	1	< 0.1%
8280.75488	1	< 0.1%
8267.02539	1	< 0.1%

2014
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2008
Distinct (%)	78.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2296.014009

Minimum	0
Maximum	11829.86328
Zeros	543
Zeros (%)	21.3%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	199.4760925
median	1287.46558
Q3	3809.03705
95-th percentile	7580.554174
Maximum	11829.86328
Range	11829.86328
Interquartile range (IQR)	3609.560957

Descriptive statistics

Standard deviation	2503.449557
Coefficient of variation (CV)	1.090345942
Kurtosis	0.2357906393
Mean	2296.014009
Median Absolute Deviation (MAD)	1287.46558
Skewness	1.091058302
Sum	5854835.723
Variance	6267259.684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	543	21.3%
4389.75293	1	< 0.1%
5059.28223	1	< 0.1%
5950.63379	1	< 0.1%
6278.62598	1	< 0.1%
7814.08252	1	< 0.1%
8565.86133	1	< 0.1%
7154.26465	1	< 0.1%
6590.29297	1	< 0.1%
7796.44971	1	< 0.1%
Other values (1998)	1998	78.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	543	21.3%
1.98535	1	< 0.1%
4.02218	1	< 0.1%
4.64364	1	< 0.1%
4.78365	1	< 0.1%
7.0865	1	< 0.1%
9.24015	1	< 0.1%
12.31076	1	< 0.1%
13.72463	1	< 0.1%
15.86499	1	< 0.1%

Value	Count	Frequency (%)
11829.86328	1	< 0.1%
10705.52832	1	< 0.1%
10586.00879	1	< 0.1%
10238.8291	1	< 0.1%
10185.72461	1	< 0.1%
10183.80957	1	< 0.1%
10181.1748	1	< 0.1%
10115.18652	1	< 0.1%
9963.30957	1	< 0.1%
9932.44824	1	< 0.1%

2015
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2383
Distinct (%)	93.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3779.467698

Minimum	0
Maximum	13333.70801
Zeros	168
Zeros (%)	6.6%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1531.422518
median	3523.53894
Q3	5814.852418
95-th percentile	8311.085203
Maximum	13333.70801
Range	13333.70801
Interquartile range (IQR)	4283.4299

Descriptive statistics

Standard deviation	2658.114725
Coefficient of variation (CV)	0.7033039935
Kurtosis	-0.693980699
Mean	3779.467698
Median Absolute Deviation (MAD)	2132.384885
Skewness	0.3863947061
Sum	9637642.63
Variance	7065573.893
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	168	6.6%
8113.09912	1	< 0.1%
7154.89746	1	< 0.1%
5587.11279	1	< 0.1%
6762.30615	1	< 0.1%
7116.30078	1	< 0.1%
3526.50903	1	< 0.1%
4718.71484	1	< 0.1%
9823.08105	1	< 0.1%
9275.00098	1	< 0.1%
Other values (2373)	2373	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	168	6.6%
13.72463	1	< 0.1%
18.6806	1	< 0.1%
21.56686	1	< 0.1%
22.54473	1	< 0.1%
24.2603	1	< 0.1%
28.72112	1	< 0.1%
34.09649	1	< 0.1%
41.01432	1	< 0.1%
49.11555	1	< 0.1%

Value	Count	Frequency (%)
13333.70801	1	< 0.1%
13245.87305	1	< 0.1%
12632.6709	1	< 0.1%
11832.88281	1	< 0.1%
11765.66797	1	< 0.1%
11589.7666	1	< 0.1%
11110.6377	1	< 0.1%
10918.5166	1	< 0.1%
10761.90332	1	< 0.1%
10725.00879	1	< 0.1%

2016
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2468
Distinct (%)	96.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5187.219477

Minimum	0
Maximum	15308.28418
Zeros	83
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	533.0027955
Q1	2976.717893
median	5239.228515
Q3	7354.420412
95-th percentile	9596.914061
Maximum	15308.28418
Range	15308.28418
Interquartile range (IQR)	4377.70252

Descriptive statistics

Standard deviation	2851.520145
Coefficient of variation (CV)	0.5497203575
Kurtosis	-0.6527784932
Mean	5187.219477
Median Absolute Deviation (MAD)	2169.234745
Skewness	0.06510166397
Sum	13227409.67
Variance	8131167.139
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	83	3.3%
3130.10791	1	< 0.1%
9824.61914	1	< 0.1%
8562.40137	1	< 0.1%
8828.875	1	< 0.1%
3742.33667	1	< 0.1%
8649.89941	1	< 0.1%
7407.21875	1	< 0.1%
4270.50244	1	< 0.1%
3928.36816	1	< 0.1%
Other values (2458)	2458	96.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	83	3.3%
10.71252	1	< 0.1%
11.73522	1	< 0.1%
21.56686	1	< 0.1%
28.72112	1	< 0.1%
71.11914	1	< 0.1%
77.24956	1	< 0.1%
102.96963	1	< 0.1%
106.12666	1	< 0.1%
128.14275	1	< 0.1%

Value	Count	Frequency (%)
15308.28418	1	< 0.1%
15274.26367	1	< 0.1%
13830.87695	1	< 0.1%
13477.22852	1	< 0.1%
13212.47949	1	< 0.1%
13006.55371	1	< 0.1%
12857.41309	1	< 0.1%
12790.9668	1	< 0.1%
12771.90625	1	< 0.1%
12601.27637	1	< 0.1%

2017
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2489
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5521.008381

Minimum	0
Maximum	15504.71875
Zeros	62
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	686.481136
Q1	3432.009278
median	5656.745115
Q3	7629.78455
95-th percentile	9721.926221
Maximum	15504.71875
Range	15504.71875
Interquartile range (IQR)	4197.775272

Descriptive statistics

Standard deviation	2794.124812
Coefficient of variation (CV)	0.5060895799
Kurtosis	-0.5298231896
Mean	5521.008381
Median Absolute Deviation (MAD)	2089.33106
Skewness	-0.01493390579
Sum	14078571.37
Variance	7807133.465
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	62	2.4%
3651.01465	1	< 0.1%
9477.86719	1	< 0.1%
3711.58691	1	< 0.1%
8947.88281	1	< 0.1%
8125.49561	1	< 0.1%
4810.06982	1	< 0.1%
4334.55566	1	< 0.1%
3416.97046	1	< 0.1%
5018.67822	1	< 0.1%
Other values (2479)	2479	97.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	62	2.4%
10.768	1	< 0.1%
21.56686	1	< 0.1%
29.41518	1	< 0.1%
47.28738	1	< 0.1%
57.97614	1	< 0.1%
71.11914	1	< 0.1%
77.21277	1	< 0.1%
91.70498	1	< 0.1%
100.86575	1	< 0.1%

Value	Count	Frequency (%)
15504.71875	1	< 0.1%
15395.75586	1	< 0.1%
13878.33203	1	< 0.1%
13849.60156	1	< 0.1%
13776.4248	1	< 0.1%
13468.87793	1	< 0.1%
13252.1123	1	< 0.1%
13139.76367	1	< 0.1%
12893.33398	1	< 0.1%
12794.59668	1	< 0.1%

2018
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2490
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5564.770814

Minimum	0
Maximum	15504.71875
Zeros	61
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	758.727235
Q1	3458.108215
median	5697.28882
Q3	7665.206302
95-th percentile	9809.960892
Maximum	15504.71875
Range	15504.71875
Interquartile range (IQR)	4207.098088

Descriptive statistics

Standard deviation	2794.526635
Coefficient of variation (CV)	0.502181802
Kurtosis	-0.5183716348
Mean	5564.770814
Median Absolute Deviation (MAD)	2100.90674
Skewness	-0.01661055651
Sum	14190165.58
Variance	7809379.115
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	61	2.4%
3416.97046	1	< 0.1%
9228.57715	1	< 0.1%
9477.86719	1	< 0.1%
3795.38477	1	< 0.1%
8991.98926	1	< 0.1%
8125.49561	1	< 0.1%
4810.06982	1	< 0.1%
4334.55566	1	< 0.1%
3651.01465	1	< 0.1%
Other values (2480)	2480	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	61	2.4%
10.768	1	< 0.1%
21.56686	1	< 0.1%
47.28738	1	< 0.1%
57.97614	1	< 0.1%
71.11914	1	< 0.1%
77.21277	1	< 0.1%
91.70498	1	< 0.1%
100.86575	1	< 0.1%
103.33617	1	< 0.1%

Value	Count	Frequency (%)
15504.71875	1	< 0.1%
15395.75586	1	< 0.1%
13878.33203	1	< 0.1%
13849.60156	1	< 0.1%
13776.4248	1	< 0.1%
13468.87793	1	< 0.1%
13252.23828	1	< 0.1%
13188.44531	1	< 0.1%
13139.76367	1	< 0.1%
12893.33398	1	< 0.1%

2019
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2494
Distinct (%)	97.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5670.976333

Minimum	0
Maximum	15504.71875
Zeros	57
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	783.1089885
Q1	3577.907655
median	5851.732665
Q3	7816.106325
95-th percentile	9919.668601
Maximum	15504.71875
Range	15504.71875
Interquartile range (IQR)	4238.19867

Descriptive statistics

Standard deviation	2819.175989
Coefficient of variation (CV)	0.497123568
Kurtosis	-0.4910815944
Mean	5670.976333
Median Absolute Deviation (MAD)	2070.17749
Skewness	-0.03624552865
Sum	14460989.65
Variance	7947753.256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	57	2.2%
4291.4751	1	< 0.1%
9708.22754	1	< 0.1%
9283.75098	1	< 0.1%
9496.38867	1	< 0.1%
3795.38477	1	< 0.1%
9113.27637	1	< 0.1%
8210.55078	1	< 0.1%
4807.91016	1	< 0.1%
3404.24756	1	< 0.1%
Other values (2484)	2484	97.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	57	2.2%
10.768	1	< 0.1%
47.27638	1	< 0.1%
47.28738	1	< 0.1%
57.97614	1	< 0.1%
71.11914	1	< 0.1%
91.70498	1	< 0.1%
100.86575	1	< 0.1%
103.33617	1	< 0.1%
108.8453	1	< 0.1%

Value	Count	Frequency (%)
15504.71875	1	< 0.1%
15398.2627	1	< 0.1%
14757.6543	1	< 0.1%
14688.9248	1	< 0.1%
13878.33203	1	< 0.1%
13858.42871	1	< 0.1%
13776.4248	1	< 0.1%
13468.87793	1	< 0.1%
13252.23828	1	< 0.1%
13139.76367	1	< 0.1%

2020
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2500
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5746.529868

Minimum	0
Maximum	15504.71875
Zeros	51
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0
5-th percentile	904.256095
Q1	3666.710145
median	5980.066895
Q3	7877.377077
95-th percentile	9988.177781
Maximum	15504.71875
Range	15504.71875
Interquartile range (IQR)	4210.666932

Descriptive statistics

Standard deviation	2815.937566
Coefficient of variation (CV)	0.4900240023
Kurtosis	-0.4845828368
Mean	5746.529868
Median Absolute Deviation (MAD)	2043.466305
Skewness	-0.05861127092
Sum	14653651.16
Variance	7929504.373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	51	2.0%
5076.82129	1	< 0.1%
4060.08032	1	< 0.1%
9161.93164	1	< 0.1%
8210.55078	1	< 0.1%
4807.91016	1	< 0.1%
4291.4751	1	< 0.1%
3404.24756	1	< 0.1%
3653.00024	1	< 0.1%
4796.00293	1	< 0.1%
Other values (2490)	2490	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	51	2.0%
10.768	1	< 0.1%
47.27638	1	< 0.1%
47.28738	1	< 0.1%
57.97614	1	< 0.1%
70.72638	1	< 0.1%
78.51696	1	< 0.1%
91.70498	1	< 0.1%
100.86575	1	< 0.1%
103.33617	1	< 0.1%

Value	Count	Frequency (%)
15504.71875	1	< 0.1%
15398.2627	1	< 0.1%
14757.6543	1	< 0.1%
14688.9248	1	< 0.1%
13914.3916	1	< 0.1%
13878.33203	1	< 0.1%
13858.42871	1	< 0.1%
13468.87793	1	< 0.1%
13252.0293	1	< 0.1%
13139.78711	1	< 0.1%

LABEL2013
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	230
Missing (%)	9.0%
Memory size	20.0 KiB

Urban	2320

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11600
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2320	91.0%
(Missing)	230	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2320	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9280	80.0%
Uppercase Letter	2320	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2320	25.0%
b	2320	25.0%
a	2320	25.0%
n	2320	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2320	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

LABEL2014
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	200
Missing (%)	7.8%
Memory size	20.0 KiB

Urban	2350

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11750
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2350	92.2%
(Missing)	200	7.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2350	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9400	80.0%
Uppercase Letter	2350	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2350	25.0%
b	2350	25.0%
a	2350	25.0%
n	2350	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

LABEL2015
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	194
Missing (%)	7.6%
Memory size	20.0 KiB

Urban	2356

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11780
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2356	92.4%
(Missing)	194	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2356	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9424	80.0%
Uppercase Letter	2356	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2356	25.0%
b	2356	25.0%
a	2356	25.0%
n	2356	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2356	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11780	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

LABEL2016
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	190
Missing (%)	7.5%
Memory size	20.0 KiB

Urban	2360

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11800
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2360	92.5%
(Missing)	190	7.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2360	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9440	80.0%
Uppercase Letter	2360	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2360	25.0%
b	2360	25.0%
a	2360	25.0%
n	2360	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11800	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

LABEL2017
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	179
Missing (%)	7.0%
Memory size	20.0 KiB

Urban	2371

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11855
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2371	93.0%
(Missing)	179	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2371	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9484	80.0%
Uppercase Letter	2371	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2371	25.0%
b	2371	25.0%
a	2371	25.0%
n	2371	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11855	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11855	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

LABEL2018
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	118
Missing (%)	4.6%
Memory size	20.0 KiB

Urban	2432

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12160
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2432	95.4%
(Missing)	118	4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2432	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9728	80.0%
Uppercase Letter	2432	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2432	25.0%
b	2432	25.0%
a	2432	25.0%
n	2432	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2432	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12160	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

LABEL2019
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	65
Missing (%)	2.5%
Memory size	20.0 KiB

Urban	2485

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12425
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2485	97.5%
(Missing)	65	2.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2485	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9940	80.0%
Uppercase Letter	2485	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2485	25.0%
b	2485	25.0%
a	2485	25.0%
n	2485	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2485	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12425	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

LABEL2020
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.0 KiB

Urban	2550

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12750
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2550	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2550	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10200	80.0%
Uppercase Letter	2550	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2550	25.0%
b	2550	25.0%
a	2550	25.0%
n	2550	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2550	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	LAT	LON	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
0	107	17.3775	78.04750	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
1	108	17.3825	78.04750	0.00000	0.00000	550.80963	550.80963	550.80963	550.80963	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2	143	17.3775	78.05251	0.00000	0.00000	355.16251	355.16251	355.16251	355.16251	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
3	246	17.3325	78.06250	2759.31934	2761.86084	2761.86084	2761.86084	2761.86084	3594.86499	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
4	247	17.3375	78.06250	603.91541	603.91541	603.91541	603.91541	603.91541	994.47986	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
5	347	17.6225	78.06750	589.46979	589.46979	589.46979	589.46979	589.46979	589.46979	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
6	348	17.6275	78.06750	592.54913	592.54913	592.54913	592.54913	771.26556	771.26556	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
7	425	17.6075	78.07250	2093.80176	2093.80176	2093.80176	2093.80176	2055.73267	2055.73267	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
8	426	17.6125	78.07250	6871.57324	7579.71045	6865.41699	6865.41699	6919.68604	6918.69287	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
9	427	17.6175	78.07250	3257.40747	3290.53516	3290.53516	3290.53516	3282.27075	3282.41064	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban

Last rows

	df_index	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
2540	25379	17.5225	78.89250	59.89426	88.60258	82.70728	6456.61768	6459.45166	6459.45166	6391.63965	6493.99268	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2541	25380	17.5275	78.89250	560.89545	545.35126	1945.49292	3845.48535	6807.55664	6807.55664	6854.75781	7330.81494	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2542	25381	17.5325	78.89250	0.00000	0.00000	899.63824	899.63824	3701.61133	3701.61133	3687.56323	3687.56323	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2543	25382	17.5375	78.89250	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2544	25399	17.2525	78.89750	575.61755	559.93976	559.93976	559.93976	1736.65210	3628.38843	4064.40430	4064.40430	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2545	25453	17.5225	78.89750	0.00000	0.00000	0.00000	1660.81165	1660.81165	1660.81165	1634.37793	2400.31177	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2546	25455	17.5325	78.89750	138.73227	120.56501	726.67505	726.67505	1761.58179	1761.58179	1787.53699	1886.89514	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2547	25473	17.2525	78.90250	565.82843	565.96167	909.98468	909.98779	2067.62183	3230.78687	3531.38818	3531.38818	None	None	None	None	None	None	None	Urban
2548	25774	17.4625	78.92250	81.45361	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2549	25800	17.2325	78.92751	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	0.00000	None	None	None	None	None	None	None	Urban

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter